October 13th 2018

Introduction

This is presentation corresponds to the third weeek's peer assignment for the course in Developing Data Products at Coursera. Using the Motor Trend Car Road Tests dataset from R, we are going to produce a 3D scatter plot using the plotly library.

Included variables

For our 3D Scatter plot we are going to use the Miles/(US) gallon (mpg), Gross horsepower (hp) and Weight (wt) variables as the x, y and z axis respectively. In addition there will be a color scale indicating the number of cylinders (cyl) of each car.

## 'data.frame':    32 obs. of  11 variables:
##  $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
##  $ cyl : num  6 6 4 6 8 6 8 4 4 6 ...
##  $ disp: num  160 160 108 258 360 ...
##  $ hp  : num  110 110 93 110 175 105 245 62 95 123 ...
##  $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
##  $ wt  : num  2.62 2.88 2.32 3.21 3.44 ...
##  $ qsec: num  16.5 17 18.6 19.4 17 ...
##  $ vs  : num  0 0 1 1 0 1 0 1 1 1 ...
##  $ am  : num  1 1 1 0 0 0 0 0 0 0 ...
##  $ gear: num  4 4 4 3 3 3 3 4 4 4 ...
##  $ carb: num  4 4 1 1 2 1 4 2 2 4 ...

Slide with Plot

This slide contains a 3d scatter plot using the mtcars dataset as described earlier: